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We examine the benefits of a rental based cluster system in supporting high-performance applications. We evaluate the cost of five rental policies and demonstrate how resources from third party external resource providers can be efficiently obtained to accommodate sudden bursts in demand for resources by high performance computing applications. Our evaluation demonstrated that the proposed policies...
In this paper, we investigate how Service Level Agreeements (SLAs) can be incorporated as part of the system's scheduling and rental decisions to satisfy the different performance promises of high performance computing (HPC) applications. Such SLAs are contracts which specify a set of application-driven requirements such as the estimated total load, contract duration, total utility value and the estimated...
A key problem in executing performance critical applications on distributed computing environments (e.g. the Grid) is the selection of resources for execution. A lot of research related to "automatic resource selection" has been made to allocate the best-effort resources on behalf of users to optimize the execution performance. However most of current approaches are based on the static principle...
Most resource management systems in large distributed environments rely on a centralised controller scheme, known as a meta-scheduler. Such a meta-scheduler is designed to have a complete control of all resources worldwide through a number of local schedulers on each participating site. Faced with a potential large number of sites, the central scheduling point represents a potential bottleneck for...
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